Image analysis apparatus, method, and program

US9117287B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9117287-B2
Application numberUS-201414489529-A
CountryUS
Kind codeB2
Filing dateSep 18, 2014
Priority dateMar 23, 2012
Publication dateAug 25, 2015
Grant dateAug 25, 2015

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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An image analysis apparatus that analyzes, based on a series of three-dimensional images of lungs at different time phases, a three-dimensional distribution of ventilation volume of the lungs, includes a lung region extraction unit that extracts a lung region from each of the three-dimensional images; an alignment unit that aligns the lung regions between the series of three-dimensional images and calculates a displacement vector field in the lung region; a function calculation unit that calculates a local ventilation volume function representing a temporal change in ventilation volume at each point in the displacement vector field in each of the three-dimensional images based on the displacement vector field; and a quantification unit that quantifies a difference between the local ventilation volume function and a benchmark ventilation volume function serving as a reference and calculates a quantitative value representing the difference.

First claim

Opening claim text (preview).

What is claimed is: 1. An image analysis apparatus that analyzes, based on a series of three-dimensional images of lungs at different time phases, a three-dimensional distribution of ventilation volume of the lungs, the apparatus comprising: a lung region extraction unit that extracts a lung region from each of the three-dimensional images; an alignment unit that aligns the lung regions between the series of three-dimensional images and calculates a displacement vector field in the lung region; a function calculation unit that calculates a local ventilation volume function representing a temporal change in ventilation volume at each point in the displacement vector field in each of the three-dimensional images based on the displacement vector field; and a quantification unit that quantifies a difference between the local ventilation volume function and a benchmark ventilation volume function serving as a reference and calculates a quantitative value representing the difference. 2. The image analysis apparatus as claimed in claim 1 , wherein the quantification unit calculates a difference function representing a difference between the local ventilation volume function and the benchmark ventilation volume function as the quantitative value. 3. The image analysis apparatus as claimed in claim 1 , wherein the quantification unit calculates a difference function representing a difference between the local ventilation volume function and the benchmark ventilation volume function, and calculates an integration value of absolute values of ventilation volumes or a maximum value of the absolute values of the difference function as the quantitative value. 4. The image analysis apparatus as claimed in claim 1 , wherein the quantification unit calculates a difference in time to reach a predetermined ventilation volume between the local ventilation volume function and the benchmark ventilation volume function as the quantitative value. 5. The image analysis apparatus as claimed in claim 1 , wherein the apparatus further comprises a display control unit that visualizes the quantitative value on the three-dimensional images displayed or on two-dimensional images obtained from the three-dimensional images. 6. The image analysis apparatus as claimed in claim 5 , wherein the display control unit visualizes the quantitative value by mapping the quantitative value on each point in the displacement vector field in each of the three-dimensional images or each of the two-dimensional images. 7. The image analysis apparatus as claimed in claim 1 , wherein the alignment unit performs the alignment by a non-rigid registration method. 8. The image analysis apparatus as claimed in claim 1 , wherein the alignment unit performs the alignment based on a correlation between the three-dimensional images. 9. The image analysis apparatus as claimed in claim 1 , wherein the three-dimensional images are generated from CT images or MRI images. 10. The image analysis apparatus as claimed in claim 1 , wherein the quantification unit quantifies the difference after normalizing the local ventilation volume function and the benchmark ventilation volume function in a time axis direction. 11. The image analysis apparatus as claimed in claim 1 , wherein the quantification unit quantifies the difference after normalizing the local ventilation volume function and the benchmark ventilation volume function by a maximum value of the local ventilation volume function or the benchmark ventilation volume function. 12. The image analysis apparatus as claimed in claim 1 , wherein the benchmark ventilation volume function is a function representing a volume change in the entire lungs of the same subject as that for which the three-dimensional images are obtained, a vital capacity function of the same subject, a function representing a volume change in a partial region of the lungs of the same subject, a ventilation volume function calculated based on many healthy persons, or a ventilation volume function calculated mathematically. 13. An image analysis method that analyzes, based on a series of three-dimensional images of lungs at different time phases, a three-dimensional distribution of ventilation volume of the lungs, the method comprising: extracting a lung region from each of the three-dimensional images; aligning the lung regions between the series of three-dimensional images and calculating a displacement vector field in the lung region; calculating a local ventilation volume function representing a temporal change in ventilation volume at each point in the displacement vector field in each of the three-dimensional images based on the displacement vector field; and quantifying a difference between the local ventilation volume function and a benchmark ventilation volume function serving as a reference and calculating a quantitative value representing the difference. 14. A non-transitory recording medium on which is recorded a program for causing a computer to perform an image analysis method that analyzes, based on a series of three-dimensional images of lungs at different time phases, a three-dimensional distribution of ventilation volume of the lungs, the program causing the computer to perform the steps of: extracting a lung region from each of the three-dimensional images; aligning the lung regions between the series of three-dimensional images and calculating a displacement vector field in the lung region; calculating a local ventilation volume function representing a temporal change in ventilation volume at each point in the displacement vector field in each of the three-dimensional images based on the displacement vector field; and quantifying a difference between the local ventilation volume function and a benchmark ventilation volume function serving as a reference and calculating a quantitative value representing the difference.

Assignees

Inventors

Classifications

  • for calculating health indices; for individual health risk assessment · CPC title

  • extracting a diagnostic or physiological parameter from medical diagnostic data · CPC title

  • using feature-based methods · CPC title

  • Magnetic resonance imaging [MRI] · CPC title

  • Lung · CPC title

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What does patent US9117287B2 cover?
An image analysis apparatus that analyzes, based on a series of three-dimensional images of lungs at different time phases, a three-dimensional distribution of ventilation volume of the lungs, includes a lung region extraction unit that extracts a lung region from each of the three-dimensional images; an alignment unit that aligns the lung regions between the series of three-dimensional images …
Who is the assignee on this patent?
Fujifilm Corp
What technology area does this patent fall under?
Primary CPC classification G06T7/20. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 25 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).